Overview

Dataset statistics

Number of variables23
Number of observations3947
Missing cells3526
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory709.4 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 2 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
DM_Type is highly overall correlated with DM and 2 other fieldsHigh correlation
DM_Treatment is highly overall correlated with DM and 2 other fieldsHigh correlation
Waist is highly overall correlated with BMIHigh correlation
Fasting_Blood_Glucose_Value_SI_Units is highly overall correlated with HbA1C_Admission_ValueHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 3 other fieldsHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Year_DM_Diagnosed has 1763 (44.7%) missing valuesMissing
DM_Duration has 1763 (44.7%) missing valuesMissing
Year_DM_Diagnosed is highly skewed (γ1 = -26.47789388)Skewed
DM_Duration is highly skewed (γ1 = 26.48532862)Skewed
Gender has 1327 (33.6%) zerosZeros
Education has 948 (24.0%) zerosZeros
Work has 2840 (72.0%) zerosZeros
Cardiac_Arrest_Admission has 3873 (98.1%) zerosZeros
Non_Cardiac_Condition has 3839 (97.3%) zerosZeros
Hypertension has 1371 (34.7%) zerosZeros
Dyslipidemia has 1692 (42.9%) zerosZeros
DM has 1780 (45.1%) zerosZeros
DM_Treatment has 103 (2.6%) zerosZeros
Smoking_History has 956 (24.2%) zerosZeros
Lipid_24_Collected has 501 (12.7%) zerosZeros

Reproduction

Analysis started2023-04-01 22:05:45.403565
Analysis finished2023-04-01 22:07:30.658852
Duration1 minute and 45.26 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66379529
Minimum0
Maximum1
Zeros1327
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:30.717231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47246975
Coefficient of variation (CV)0.71177026
Kurtosis-1.5195376
Mean0.66379529
Median Absolute Deviation (MAD)0
Skewness-0.6937093
Sum2620
Variance0.22322766
MonotonicityNot monotonic
2023-04-01T22:07:30.847095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2620
66.4%
0 1327
33.6%
ValueCountFrequency (%)
0 1327
33.6%
1 2620
66.4%
ValueCountFrequency (%)
1 2620
66.4%
0 1327
33.6%

Age
Real number (ℝ)

Distinct78
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.311629
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:31.053821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.65785
Coefficient of variation (CV)0.20987411
Kurtosis-0.14314114
Mean60.311629
Median Absolute Deviation (MAD)9
Skewness-0.006380543
Sum238050
Variance160.22116
MonotonicityNot monotonic
2023-04-01T22:07:31.301681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 142
 
3.6%
72 133
 
3.4%
57 132
 
3.3%
60 130
 
3.3%
67 120
 
3.0%
59 115
 
2.9%
52 115
 
2.9%
64 110
 
2.8%
53 110
 
2.8%
56 109
 
2.8%
Other values (68) 2731
69.2%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.2%
26 5
0.1%
27 4
0.1%
28 4
0.1%
29 4
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
99 4
0.1%
97 2
 
0.1%
96 1
 
< 0.1%
95 2
 
0.1%
94 6
0.2%
93 4
0.1%
92 6
0.2%
91 3
0.1%
90 7
0.2%

Education
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9191791
Minimum0
Maximum5
Zeros948
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:31.460018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4289401
Coefficient of variation (CV)0.74455796
Kurtosis-0.58976286
Mean1.9191791
Median Absolute Deviation (MAD)1
Skewness0.31689546
Sum7575
Variance2.0418698
MonotonicityNot monotonic
2023-04-01T22:07:31.587308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1905
48.3%
0 948
24.0%
4 631
 
16.0%
1 237
 
6.0%
5 163
 
4.1%
3 63
 
1.6%
ValueCountFrequency (%)
0 948
24.0%
1 237
 
6.0%
2 1905
48.3%
3 63
 
1.6%
4 631
 
16.0%
5 163
 
4.1%
ValueCountFrequency (%)
5 163
 
4.1%
4 631
 
16.0%
3 63
 
1.6%
2 1905
48.3%
1 237
 
6.0%
0 948
24.0%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31466937
Minimum0
Maximum2
Zeros2840
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:31.728740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53303933
Coefficient of variation (CV)1.6939664
Kurtosis1.1834237
Mean0.31466937
Median Absolute Deviation (MAD)0
Skewness1.4575138
Sum1242
Variance0.28413093
MonotonicityNot monotonic
2023-04-01T22:07:31.854835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 2840
72.0%
1 972
 
24.6%
2 135
 
3.4%
ValueCountFrequency (%)
0 2840
72.0%
1 972
 
24.6%
2 135
 
3.4%
ValueCountFrequency (%)
2 135
 
3.4%
1 972
 
24.6%
0 2840
72.0%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021028629
Minimum0
Maximum2
Zeros3873
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:32.011483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.15859768
Coefficient of variation (CV)7.5419885
Kurtosis76.32358
Mean0.021028629
Median Absolute Deviation (MAD)0
Skewness8.3071849
Sum83
Variance0.025153224
MonotonicityNot monotonic
2023-04-01T22:07:32.150290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3873
98.1%
1 65
 
1.6%
2 9
 
0.2%
ValueCountFrequency (%)
0 3873
98.1%
1 65
 
1.6%
2 9
 
0.2%
ValueCountFrequency (%)
2 9
 
0.2%
1 65
 
1.6%
0 3873
98.1%

Non_Cardiac_Condition
Real number (ℝ)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.027362554
Minimum0
Maximum1
Zeros3839
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:32.297005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16315817
Coefficient of variation (CV)5.9628269
Kurtosis31.615985
Mean0.027362554
Median Absolute Deviation (MAD)0
Skewness5.7965477
Sum108
Variance0.026620589
MonotonicityNot monotonic
2023-04-01T22:07:32.439254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 3839
97.3%
1 108
 
2.7%
ValueCountFrequency (%)
0 3839
97.3%
1 108
 
2.7%
ValueCountFrequency (%)
1 108
 
2.7%
0 3839
97.3%

Hypertension
Real number (ℝ)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65264758
Minimum0
Maximum1
Zeros1371
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:32.582677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47618921
Coefficient of variation (CV)0.72962687
Kurtosis-1.5893519
Mean0.65264758
Median Absolute Deviation (MAD)0
Skewness-0.64144657
Sum2576
Variance0.22675617
MonotonicityNot monotonic
2023-04-01T22:07:32.700605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2576
65.3%
0 1371
34.7%
ValueCountFrequency (%)
0 1371
34.7%
1 2576
65.3%
ValueCountFrequency (%)
1 2576
65.3%
0 1371
34.7%

Dyslipidemia
Real number (ℝ)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57131999
Minimum0
Maximum1
Zeros1692
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:32.882661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49495002
Coefficient of variation (CV)0.86632716
Kurtosis-1.917834
Mean0.57131999
Median Absolute Deviation (MAD)0
Skewness-0.28833678
Sum2255
Variance0.24497553
MonotonicityNot monotonic
2023-04-01T22:07:33.019771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2255
57.1%
0 1692
42.9%
ValueCountFrequency (%)
0 1692
42.9%
1 2255
57.1%
ValueCountFrequency (%)
1 2255
57.1%
0 1692
42.9%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54902458
Minimum0
Maximum1
Zeros1780
Zeros (%)45.1%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:33.169447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49765383
Coefficient of variation (CV)0.90643271
Kurtosis-1.9621371
Mean0.54902458
Median Absolute Deviation (MAD)0
Skewness-0.19712268
Sum2167
Variance0.24765934
MonotonicityNot monotonic
2023-04-01T22:07:33.300486image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2167
54.9%
0 1780
45.1%
ValueCountFrequency (%)
0 1780
45.1%
1 2167
54.9%
ValueCountFrequency (%)
1 2167
54.9%
0 1780
45.1%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct48
Distinct (%)2.2%
Missing1763
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1997.6282
Minimum9
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:33.514731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1984
Q11996
median2002
Q32007
95-th percentile2011
Maximum2022
Range2013
Interquartile range (IQR)11

Descriptive statistics

Standard deviation74.05268
Coefficient of variation (CV)0.037070302
Kurtosis707.93308
Mean1997.6282
Median Absolute Deviation (MAD)5
Skewness-26.477894
Sum4362820
Variance5483.7994
MonotonicityNot monotonic
2023-04-01T22:07:33.724231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2002 283
 
7.2%
2007 169
 
4.3%
1992 151
 
3.8%
1997 148
 
3.7%
2000 116
 
2.9%
2008 111
 
2.8%
2006 101
 
2.6%
2003 98
 
2.5%
2010 87
 
2.2%
2011 81
 
2.1%
Other values (38) 839
21.3%
(Missing) 1763
44.7%
ValueCountFrequency (%)
9 1
 
< 0.1%
10 1
 
< 0.1%
20 1
 
< 0.1%
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
0.1%
1973 3
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
ValueCountFrequency (%)
2022 1
 
< 0.1%
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.1%
2010 87
2.2%
2009 76
1.9%
2008 111
2.8%
2007 169
4.3%
2006 101
2.6%
2005 70
1.8%

DM_Duration
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct46
Distinct (%)2.1%
Missing1763
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean14.628205
Minimum-10
Maximum2004
Zeros30
Zeros (%)0.8%
Negative1
Negative (%)< 0.1%
Memory size31.0 KiB
2023-04-01T22:07:34.069068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile1
Q16
median10
Q316
95-th percentile28
Maximum2004
Range2014
Interquartile range (IQR)10

Descriptive statistics

Standard deviation74.06116
Coefficient of variation (CV)5.0629014
Kurtosis708.20054
Mean14.628205
Median Absolute Deviation (MAD)5
Skewness26.485329
Sum31948
Variance5485.0555
MonotonicityNot monotonic
2023-04-01T22:07:34.241700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 338
 
8.6%
20 199
 
5.0%
15 172
 
4.4%
5 171
 
4.3%
12 114
 
2.9%
6 103
 
2.6%
7 91
 
2.3%
2 88
 
2.2%
4 88
 
2.2%
1 83
 
2.1%
Other values (36) 737
18.7%
(Missing) 1763
44.7%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 30
 
0.8%
1 83
2.1%
2 88
2.2%
3 78
2.0%
4 88
2.2%
5 171
4.3%
6 103
2.6%
7 91
2.3%
8 82
2.1%
ValueCountFrequency (%)
2004 1
 
< 0.1%
2003 1
 
< 0.1%
1992 1
 
< 0.1%
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
0.1%
38 1
 
< 0.1%
37 2
 
0.1%
36 1
 
< 0.1%
35 7
0.2%

DM_Type
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4403344
Minimum0
Maximum2
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:34.419021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.50958844
Coefficient of variation (CV)0.35379869
Kurtosis-1.6245174
Mean1.4403344
Median Absolute Deviation (MAD)0
Skewness0.090783993
Sum5685
Variance0.25968037
MonotonicityNot monotonic
2023-04-01T22:07:34.542840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2157
54.6%
2 1764
44.7%
0 26
 
0.7%
ValueCountFrequency (%)
0 26
 
0.7%
1 2157
54.6%
2 1764
44.7%
ValueCountFrequency (%)
2 1764
44.7%
1 2157
54.6%
0 26
 
0.7%

DM_Treatment
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9556625
Minimum0
Maximum9
Zeros103
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:34.710497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4567852
Coefficient of variation (CV)0.3532065
Kurtosis0.4307915
Mean6.9556625
Median Absolute Deviation (MAD)2
Skewness-1.1412428
Sum27454
Variance6.0357934
MonotonicityNot monotonic
2023-04-01T22:07:34.870752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9 1765
44.7%
7 893
22.6%
5 488
 
12.4%
3 336
 
8.5%
8 164
 
4.2%
0 103
 
2.6%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.6%
1 100
 
2.5%
2 1
 
< 0.1%
3 336
 
8.5%
4 63
 
1.6%
5 488
 
12.4%
6 34
 
0.9%
7 893
22.6%
8 164
 
4.2%
9 1765
44.7%
ValueCountFrequency (%)
9 1765
44.7%
8 164
 
4.2%
7 893
22.6%
6 34
 
0.9%
5 488
 
12.4%
4 63
 
1.6%
3 336
 
8.5%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.6%

Smoking_History
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9293134
Minimum0
Maximum3
Zeros956
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:35.001614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67111848
Coefficient of variation (CV)0.72216593
Kurtosis0.61952611
Mean0.9293134
Median Absolute Deviation (MAD)0
Skewness0.4959765
Sum3668
Variance0.45040001
MonotonicityNot monotonic
2023-04-01T22:07:35.119190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2396
60.7%
0 956
 
24.2%
2 513
 
13.0%
3 82
 
2.1%
ValueCountFrequency (%)
0 956
 
24.2%
1 2396
60.7%
2 513
 
13.0%
3 82
 
2.1%
ValueCountFrequency (%)
3 82
 
2.1%
2 513
 
13.0%
1 2396
60.7%
0 956
 
24.2%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87332151
Minimum0
Maximum2
Zeros501
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:35.261510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.33341555
Coefficient of variation (CV)0.3817787
Kurtosis3.0344476
Mean0.87332151
Median Absolute Deviation (MAD)0
Skewness-2.2250973
Sum3447
Variance0.11116593
MonotonicityNot monotonic
2023-04-01T22:07:35.417756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3445
87.3%
0 501
 
12.7%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 501
 
12.7%
1 3445
87.3%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
1 3445
87.3%
0 501
 
12.7%

Heart_Rate
Real number (ℝ)

Distinct142
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.180476
Minimum8
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:35.612260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range214
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.674988
Coefficient of variation (CV)0.2427198
Kurtosis2.9745992
Mean85.180476
Median Absolute Deviation (MAD)12
Skewness1.0958906
Sum336207.34
Variance427.45513
MonotonicityNot monotonic
2023-04-01T22:07:35.832398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 293
 
7.4%
90 199
 
5.0%
70 199
 
5.0%
100 148
 
3.7%
78 135
 
3.4%
88 121
 
3.1%
75 117
 
3.0%
72 103
 
2.6%
85 97
 
2.5%
76 88
 
2.2%
Other values (132) 2447
62.0%
ValueCountFrequency (%)
8 1
 
< 0.1%
25 1
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 1
 
< 0.1%
35 3
 
0.1%
36 2
 
0.1%
38 5
0.1%
40 11
0.3%
42 4
 
0.1%
ValueCountFrequency (%)
222 1
 
< 0.1%
200 2
0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
0.1%
170 3
0.1%
168 3
0.1%
167 2
0.1%

Waist
Real number (ℝ)

Distinct183
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.784821
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:36.033631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile73
Q188
median98
Q3109
95-th percentile125
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.220604
Coefficient of variation (CV)0.17610713
Kurtosis2.3683096
Mean97.784821
Median Absolute Deviation (MAD)10
Skewness-0.34128907
Sum385956.69
Variance296.54919
MonotonicityNot monotonic
2023-04-01T22:07:36.219002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 220
 
5.6%
100 165
 
4.2%
110 151
 
3.8%
85 148
 
3.7%
98 143
 
3.6%
105 130
 
3.3%
88 122
 
3.1%
80 120
 
3.0%
95 119
 
3.0%
102 110
 
2.8%
Other values (173) 2519
63.8%
ValueCountFrequency (%)
25 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
0.1%
32 8
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 7
0.2%
37 1
 
< 0.1%
38 8
0.2%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
0.1%
165 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
145 3
0.1%
Distinct1634
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5651401
Minimum0.33
Maximum17.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:36.427162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.3
Q15.6
median7
Q39.170616
95-th percentile12.9
Maximum17.8
Range17.47
Interquartile range (IQR)3.570616

Descriptive statistics

Standard deviation2.7960472
Coefficient of variation (CV)0.36959622
Kurtosis1.0624142
Mean7.5651401
Median Absolute Deviation (MAD)1.64
Skewness0.78487547
Sum29859.608
Variance7.8178797
MonotonicityNot monotonic
2023-04-01T22:07:36.642392image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 79
 
2.0%
5.2 76
 
1.9%
5.6 68
 
1.7%
5 68
 
1.7%
4.8 55
 
1.4%
5.4 53
 
1.3%
6.2 53
 
1.3%
5.5 52
 
1.3%
5.8 52
 
1.3%
5.7 49
 
1.2%
Other values (1624) 3342
84.7%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1.0024 1
< 0.1%
ValueCountFrequency (%)
17.8 1
 
< 0.1%
17.7 2
 
0.1%
17.62 1
 
< 0.1%
17.6 1
 
< 0.1%
17.4 2
 
0.1%
17.3 3
 
0.1%
17.2 3
 
0.1%
17.17 1
 
< 0.1%
17.07 1
 
< 0.1%
17 8
0.2%

HbA1C_Admission_Value
Real number (ℝ)

Distinct1767
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5987898
Minimum3.2
Maximum88.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:36.837430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile5.1
Q15.93
median7.1
Q38.9
95-th percentile11.37974
Maximum88.4
Range85.2
Interquartile range (IQR)2.97

Descriptive statistics

Standard deviation2.4662189
Coefficient of variation (CV)0.32455417
Kurtosis293.93085
Mean7.5987898
Median Absolute Deviation (MAD)1.3626
Skewness9.6887663
Sum29992.423
Variance6.0822356
MonotonicityNot monotonic
2023-04-01T22:07:37.119402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.6%
5.9 71
 
1.8%
5.7 69
 
1.7%
5.8 64
 
1.6%
5.3 53
 
1.3%
5.5 52
 
1.3%
5.6 52
 
1.3%
7 49
 
1.2%
8 48
 
1.2%
5.4 48
 
1.2%
Other values (1757) 3297
83.5%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
4.16 2
 
0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
32.3171 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
0.1%
15.8 1
< 0.1%
15.7 2
0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
Distinct779
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7386457
Minimum0.07
Maximum15.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:37.304696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.87
Q13.85
median4.66
Q35.5
95-th percentile6.954
Maximum15.7
Range15.63
Interquartile range (IQR)1.65

Descriptive statistics

Standard deviation1.3199416
Coefficient of variation (CV)0.27854828
Kurtosis3.3311276
Mean4.7386457
Median Absolute Deviation (MAD)0.84
Skewness0.79636649
Sum18703.434
Variance1.7422458
MonotonicityNot monotonic
2023-04-01T22:07:37.495775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 82
 
2.1%
4.5 80
 
2.0%
5.2 74
 
1.9%
4.2 73
 
1.8%
4.6 73
 
1.8%
5.6 70
 
1.8%
4.1 67
 
1.7%
4.9 67
 
1.7%
4 66
 
1.7%
4.8 65
 
1.6%
Other values (769) 3230
81.8%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
15.7 1
< 0.1%
13.74 1
< 0.1%
12.64554 1
< 0.1%
11.8 2
0.1%
11.36 1
< 0.1%
11.29 1
< 0.1%
10.97 1
< 0.1%
10.12 1
< 0.1%
10 1
< 0.1%
9.91 1
< 0.1%
Distinct695
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.66224
Minimum0.01
Maximum17.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:37.712860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.4
Q32
95-th percentile3.5
Maximum17.6
Range17.59
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.127144
Coefficient of variation (CV)0.67808742
Kurtosis33.263088
Mean1.66224
Median Absolute Deviation (MAD)0.5
Skewness3.9617528
Sum6560.8613
Variance1.2704537
MonotonicityNot monotonic
2023-04-01T22:07:37.930668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.1 107
 
2.7%
1.2 107
 
2.7%
1.3 102
 
2.6%
0.8 99
 
2.5%
0.9 98
 
2.5%
1.5 97
 
2.5%
1.6 91
 
2.3%
1.4 91
 
2.3%
1.8 80
 
2.0%
Other values (685) 2967
75.2%
ValueCountFrequency (%)
0.01 6
0.2%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%
9 1
< 0.1%
8.88 1
< 0.1%

BMI
Real number (ℝ)

Distinct1222
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.041358
Minimum13.34
Maximum342.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:38.165180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.97
median27.8086
Q331.57
95-th percentile39.811
Maximum342.78
Range329.44
Interquartile range (IQR)6.6

Descriptive statistics

Standard deviation8.9405883
Coefficient of variation (CV)0.3078571
Kurtosis507.29766
Mean29.041358
Median Absolute Deviation (MAD)3.2614
Skewness16.961661
Sum114626.24
Variance79.934119
MonotonicityNot monotonic
2023-04-01T22:07:38.381336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.68 36
 
0.9%
25.71 35
 
0.9%
24.22 34
 
0.9%
29.41 29
 
0.7%
29.76 28
 
0.7%
27.34 27
 
0.7%
31.25 26
 
0.7%
25.95 26
 
0.7%
31.22 24
 
0.6%
28.73 22
 
0.6%
Other values (1212) 3660
92.7%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
342.78 1
< 0.1%
233.4 1
< 0.1%
221.14 1
< 0.1%
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3401
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.785903
Minimum5.21
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.0 KiB
2023-04-01T22:07:38.611724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.21
5-th percentile25.892
Q157.73
median83.29
Q3110.98
95-th percentile167.727
Maximum1164.7
Range1159.49
Interquartile range (IQR)53.25

Descriptive statistics

Standard deviation53.136041
Coefficient of variation (CV)0.59847385
Kurtosis102.97691
Mean88.785903
Median Absolute Deviation (MAD)26.66
Skewness6.2181233
Sum350437.96
Variance2823.4389
MonotonicityNot monotonic
2023-04-01T22:07:38.859783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.1 6
 
0.2%
83.2 6
 
0.2%
76.16 4
 
0.1%
110.7 4
 
0.1%
79.9 4
 
0.1%
76.26 4
 
0.1%
97.17 4
 
0.1%
98.69 3
 
0.1%
30.55 3
 
0.1%
106.6 3
 
0.1%
Other values (3391) 3906
99.0%
ValueCountFrequency (%)
5.21 1
< 0.1%
5.24 1
< 0.1%
5.57 1
< 0.1%
5.7 1
< 0.1%
5.98 1
< 0.1%
6.18 1
< 0.1%
6.23 1
< 0.1%
6.29 1
< 0.1%
6.33 1
< 0.1%
6.39 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-04-01T22:07:25.043493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:46.243755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:50.779017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:55.046860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:59.401476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:04.039973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:08.715358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:13.189301image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:17.631694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:21.954402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:26.209450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:31.080019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:35.632720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:40.196965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:44.475602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:49.035815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:53.739569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:57.947785image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:02.500593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:07.167420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:11.390595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:15.958903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:20.519861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:25.245798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:46.408238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:50.961206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:55.252949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:59.570264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:04.223707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:08.889603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:13.361854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:17.815434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:22.101111image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:26.385313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:31.272172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:35.812755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:40.427974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-04-01T22:07:28.706854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:50.008481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:54.280406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:58.645816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:03.186934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:07.846353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:12.385908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:16.819842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:21.132052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:25.382377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:30.238559image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:34.860532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:39.415807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:43.731654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:48.123958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:52.934826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:57.201557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:01.727910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:06.343316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:10.609775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:15.042491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:19.655801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:24.209960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:28.900459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:50.204465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:54.472642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:58.867817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:03.436456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:08.081650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:12.587103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:17.073904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:21.328867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:25.609546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:30.475775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:35.080983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:39.611895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:43.921465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:48.399332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:53.143642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:57.393870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:01.927325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:06.527781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:10.786293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:15.281510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:19.879289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:24.422158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:29.121963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:50.412366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:54.665358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:59.036932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:03.639502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:08.320949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:12.791801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:17.280491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:21.497587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:25.852563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:30.677754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:35.287292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:39.821181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:44.095021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:48.605610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:53.342981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:57.596428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:02.129868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:06.737427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:11.052364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:15.555910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:20.072830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:24.623896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:29.290596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:50.593707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:54.865881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:05:59.226247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:03.846161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:08.509083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:12.988619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:17.454576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:21.772842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:26.011252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-04-01T22:06:35.448639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:40.005828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:44.284860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:48.822638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:53.535609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:06:57.788222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:02.320143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:06.965510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:11.223652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:15.768610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:20.343677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-01T22:07:24.809683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-04-01T22:07:39.070101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.162-0.0040.3830.007-0.009-0.213-0.127-0.1660.089-0.0900.1680.159-0.1420.071-0.129-0.038-0.089-0.1230.002-0.008-0.1770.107
Age-0.1621.000-0.036-0.542-0.0000.0930.2640.1210.130-0.2990.301-0.126-0.1150.260-0.0780.035-0.1000.0320.029-0.173-0.218-0.149-0.635
Education-0.004-0.0361.0000.053-0.0200.008-0.012-0.041-0.0050.005-0.0060.000-0.010-0.0240.0030.0020.003-0.035-0.0150.020-0.0180.0320.035
Work0.383-0.5420.0531.000-0.005-0.067-0.247-0.125-0.1730.208-0.2080.1700.161-0.1830.053-0.0620.018-0.090-0.1080.1230.1320.0460.401
Cardiac_Arrest_Admission0.007-0.000-0.020-0.0051.0000.080-0.001-0.0270.013-0.0090.007-0.013-0.002-0.037-0.0150.074-0.0150.0230.0260.0020.002-0.001-0.026
Non_Cardiac_Condition-0.0090.0930.008-0.0670.0801.0000.0640.0200.046-0.0520.054-0.043-0.0390.027-0.0250.112-0.0170.0110.013-0.056-0.029-0.022-0.161
Hypertension-0.2130.264-0.012-0.247-0.0010.0641.0000.3940.331-0.1100.111-0.323-0.3010.146-0.0390.0980.0870.1480.179-0.1290.0120.113-0.233
Dyslipidemia-0.1270.121-0.041-0.125-0.0270.0200.3941.0000.323-0.0620.068-0.318-0.3110.110-0.0180.0260.0810.1350.181-0.0710.0880.096-0.102
DM-0.1660.130-0.005-0.1730.0130.0460.3310.3231.000-0.0200.024-0.988-0.9010.103-0.0880.1230.1000.4500.575-0.1120.1210.134-0.109
Year_DM_Diagnosed0.089-0.2990.0050.208-0.009-0.052-0.110-0.062-0.0201.000-0.9950.066-0.055-0.0730.096-0.064-0.0420.004-0.0440.1760.079-0.1150.217
DM_Duration-0.0900.301-0.006-0.2080.0070.0540.1110.0680.024-0.9951.000-0.0640.0470.075-0.0960.0600.045-0.0060.038-0.177-0.0800.110-0.221
DM_Type0.168-0.1260.0000.170-0.013-0.043-0.323-0.318-0.9880.066-0.0641.0000.907-0.1030.085-0.121-0.098-0.450-0.5740.114-0.117-0.1330.106
DM_Treatment0.159-0.115-0.0100.161-0.002-0.039-0.301-0.311-0.901-0.0550.0470.9071.000-0.1040.067-0.104-0.122-0.411-0.5220.096-0.104-0.1180.101
Smoking_History-0.1420.260-0.024-0.183-0.0370.0270.1460.1100.103-0.0730.075-0.103-0.1041.000-0.0060.023-0.0300.0380.060-0.082-0.0830.003-0.197
Lipid_24_Collected0.071-0.0780.0030.053-0.015-0.025-0.039-0.018-0.0880.096-0.0960.0850.067-0.0061.000-0.0340.005-0.011-0.0260.021-0.047-0.0350.048
Heart_Rate-0.1290.0350.002-0.0620.0740.1120.0980.0260.123-0.0640.060-0.121-0.1040.023-0.0341.000-0.0090.1070.1430.015-0.0010.048-0.061
Waist-0.038-0.1000.0030.018-0.015-0.0170.0870.0810.100-0.0420.045-0.098-0.122-0.0300.005-0.0091.0000.1150.096-0.0090.1320.5110.252
Fasting_Blood_Glucose_Value_SI_Units-0.0890.032-0.035-0.0900.0230.0110.1480.1350.4500.004-0.006-0.450-0.4110.038-0.0110.1070.1151.0000.6690.0080.1670.1240.016
HbA1C_Admission_Value-0.1230.029-0.015-0.1080.0260.0130.1790.1810.575-0.0440.038-0.574-0.5220.060-0.0260.1430.0960.6691.0000.0110.2350.142-0.009
Cholesterol_Value_SI_Units0.002-0.1730.0200.1230.002-0.056-0.129-0.071-0.1120.176-0.1770.1140.096-0.0820.0210.015-0.0090.0080.0111.0000.3950.0320.148
Triglycerides_Value_SI_Units-0.008-0.218-0.0180.1320.002-0.0290.0120.0880.1210.079-0.080-0.117-0.104-0.083-0.047-0.0010.1320.1670.2350.3951.0000.1630.159
BMI-0.177-0.1490.0320.046-0.001-0.0220.1130.0960.134-0.1150.110-0.133-0.1180.003-0.0350.0480.5110.1240.1420.0320.1631.0000.377
Creatinine_Clearance0.107-0.6350.0350.401-0.026-0.161-0.233-0.102-0.1090.217-0.2210.1060.101-0.1970.048-0.0610.2520.016-0.0090.1480.1590.3771.000

Missing values

2023-04-01T22:07:29.610965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-04-01T22:07:30.256001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-04-01T22:07:30.555899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
00730000110NaNNaN290175.060.07.0000007.07455.381.8520.0024.12
106440001112002.010.01511117.085.011.9300009.29075.402.2433.2963.60
205600000111988.024.0181082.085.04.4000007.10004.701.3031.22114.24
30780000100NaNNaN291090.090.06.2000005.60004.111.1119.5627.55
41542000100NaNNaN291175.091.04.0000005.60005.202.2023.0592.37
50632000000NaNNaN2911100.088.012.71140011.07296.502.5028.3095.53
616200001112000.012.0172150.0107.07.7000007.60004.061.1527.1878.88
715900000112002.010.01401110.097.07.6847968.00007.743.9125.2470.21
807520001012002.010.0171180.094.010.46130010.00004.701.5024.2671.83
906220001011999.013.0171184.095.05.7972006.10004.901.5727.5651.32
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
393717820000011984.028.0171166.099.0014.40000013.70002.700.7827.5368.13
393817400001111987.025.0111188.098.4210.8000008.30005.141.1028.4156.50
393916152011111993.020.0171187.090.004.2000007.40005.102.5029.7650.65
394005620001012004.08.0131062.0115.007.2000008.10007.442.3233.12109.82
394114101001112006.07.01721106.079.007.7155568.76065.901.9027.9788.77
394217520001112001.011.0151198.092.007.5000008.80004.672.2223.5145.28
394315600200111996.015.01701120.093.007.90000011.60006.661.5329.3983.77
394415540000012006.07.01701109.072.009.20000011.60003.950.8022.8489.61
39451772000100NaNNaN2911100.085.005.5611805.35756.710.6522.0431.00
394617320001111987.025.01801100.0117.009.0023808.90974.101.7729.0167.36